The Two Positively Acting Regulatory Proteins PH02 and PH04 Physically
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SUPPLEMENTAL MATERIALS Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator Adrian L. Sanborn,1,2,* Benjamin T. Yeh,2 Jordan T. Feigerle,1 Cynthia V. Hao,1 Raphael J. L. Townshend,2 Erez Lieberman Aiden,3,4 Ron O. Dror,2 Roger D. Kornberg1,*,+ 1Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA 2Department of Computer Science, Stanford University, Stanford, CA 94305, USA 3The Center for Genome Architecture, Baylor College of Medicine, Houston, USA 4Center for Theoretical Biological Physics, Rice University, Houston, USA *Correspondence: [email protected], [email protected] +Lead Contact 1 A B Empty GFP Count Count Count VP16 AD mCherry mCherry GFP C G Count 2 AD tiles 10 Random sequences 2 12 10 10 Gcn4 AD 8 1 10 1 6 10 Z-score Activation 4 Count 2 0 Activation, second library 0 10 0 10 Gal4 Gln3 Hap4 Ino2 Ino2 Msn2 Oaf1 Pip2 VP16 VP64 r = 0.952 Pho4 AD 147 104 112 1 108 234 995 944 0 1 2 Synonymously encoded control ADs 10 10 10 Activation, first library Count H 102 GFP 101 D E Empty VP16 activation 100 80% Mean positional VP16 AD 0 200 400 600 800 1000 1200 60% Position in Adr1 protein 40% By FACS GFP By sequencing I 20% 50% 0% Percent of cells 1 2 3 4 5 6 7 8 mCherry mCherry 25% 80% Gcn4 AD 60% Empty VP16 0% 40% AD at position with Percent of proteins 0.0 0.2 0.4 0.6 0.8 1.0 20% Position on protein, normalized 0% Percent of cells 100% 1 2 3 4 5 6 7 8 100% 80% 75% 75% Pho4 AD / mCherry ratio GFP 60% GFP GFP 50% 50% 40% 20% 25% 25% C-term ADs 0% ADs Percent of Percent of cells Other ADs 0% 1 2 3 4 5 6 7 8 0% 1 2 F 25 50 75 100 125 10 10 Gcn4 hydrophobic mutants (cumulative distribution) GFP bin number 1 AD length Activation J 1.0 0 0.8 0.6 0.4 −1 (log2 change vs wild-type) 0.2 Frequency of aTF expression 5 10 15 TFs without ADs falling within sorted mCh range Hydrophobic content 0.0 TFs with ADs Cumulative fraction of TFs (kcal/mol) 0.0 0.2 0.4 0.6 0.8 1.0 Fraction of genes regulated by TF that are activating Figure S1. -
Chromatin Dynamics in The
TRANSCRIPTION AND CHROMATIN DYNAMICS IN THE NOTCH SIGNALLING RESPONSE Zoe Pillidge Churchill College Department of Physiology, Development and Neuroscience University of Cambridge This dissertation is submitted for the degree of Doctor of Philosophy September 2018 TRANSCRIPTION AND CHROMATIN DYNAMICS IN THE NOTCH SIGNALLING RESPONSE During normal development, different genes are expressed in different cell types, often directed by cell signalling pathways and the pre-existing chromatin environment. The highly-conserved Notch signalling pathway is involved in many cell fate decisions during development, activating different target genes in different contexts. Upon ligand binding, the Notch receptor itself is cleaved, allowing the intracellular domain to travel to the nucleus and activate gene expression with the transcription factor known as Suppressor of Hairless (Su(H)) in Drosophila melanogaster. It is remarkable how, with such simplicity, the pathway can have such diverse outcomes while retaining precision, speed and robustness in the transcriptional response. The primary goal of this PhD has been to gain a better understanding of this process of rapid transcriptional activation in the context of the chromatin environment. To learn about the dynamics of the Notch transcriptional response, a live imaging approach was used in Drosophila Kc167 cells to visualise the transcription of a Notch-responsive gene in real time. With this technique, it was found that Notch receptor cleavage and trafficking can take place within 15 minutes to activate target gene expression, but that a ligand-receptor interaction between neighbouring cells may take longer. These experiments provide new data about the dynamics of the Notch response which could not be obtained with static time-point experiments. -
Intrinsic Specificity of DNA Binding and Function of Class II Bhlh
INTRINSIC SPECIFICITY OF BINDING AND REGULATORY FUNCTION OF CLASS II BHLH TRANSCRIPTION FACTORS APPROVED BY SUPERVISORY COMMITTEE Jane E. Johnson Ph.D. Helmut Kramer Ph.D. Genevieve Konopka Ph.D. Raymond MacDonald Ph.D. INTRINSIC SPECIFICITY OF BINDING AND REGULATORY FUNCTION OF CLASS II BHLH TRANSCRIPTION FACTORS by BRADFORD HARRIS CASEY DISSERTATION Presented to the Faculty of the Graduate School of Biomedical Sciences The University of Texas Southwestern Medical Center at Dallas In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY The University of Texas Southwestern Medical Center at Dallas Dallas, Texas December, 2016 DEDICATION This work is dedicated to my family, who have taught me pursue truth in all forms. To my grandparents for inspiring my curiosity, my parents for teaching me the value of a life in the service of others, my sisters for reminding me of the importance of patience, and to Rachel, who is both “the beautiful one”, and “the smart one”, and insists that I am clever and beautiful, too. Copyright by Bradford Harris Casey, 2016 All Rights Reserved INTRINSIC SPECIFICITY OF BINDING AND REGULATORY FUNCTION OF CLASS II BHLH TRANSCRIPTION FACTORS Publication No. Bradford Harris Casey The University of Texas Southwestern Medical Center at Dallas, 2016 Jane E. Johnson, Ph.D. PREFACE Embryonic development begins with a single cell, and gives rise to the many diverse cells which comprise the complex structures of the adult animal. Distinct cell fates require precise regulation to develop and maintain their functional characteristics. Transcription factors provide a mechanism to select tissue-specific programs of gene expression from the shared genome. -
An Activation-Specific Role for Transcription Factor TFIIB in Vivo (Sua7͞pho4͞pho5͞transcriptional Control)
Proc. Natl. Acad. Sci. USA Vol. 96, pp. 2764–2769, March 1999 Biochemistry An activation-specific role for transcription factor TFIIB in vivo (SUA7yPho4yPHO5ytranscriptional control) WEI-HUA WU AND MICHAEL HAMPSEY* Department of Biochemistry, Division of Nucleic Acids Enzymology, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, 675 Hoes Lane, Piscataway, NJ 08854-5635 Edited by Robert G. Roeder, The Rockefeller University, New York, NY, and approved January 20, 1999 (received for review November 9, 1998) ABSTRACT A yeast mutant was isolated encoding a sin- a study of PIC formation and transcriptional activity demon- gle amino acid substitution [serine-53 3 proline (S53P)] in strated that PIC assembly occurs by at least two steps and that transcription factor TFIIB that impairs activation of the the TATA box and TFIIB also can affect transcription subse- PHO5 gene in response to phosphate starvation. This effect is quent to PIC assembly (11). Thus, processes other than factor activation-specific because S53P did not affect the uninduced recruitment are potential activator targets. level of PHO5 expression, yet is not specific to PHO5 because TFIIB is recruited to the PIC by the acidic activator VP16 Adr1-mediated activation of the ADH2 gene also was impaired and the proline-rich activator CTF1 (3, 12). VP16 directly by S53P. Pho4, the principal activator of PHO5, directly targets TFIIB (3) and this interaction is required for activation interacted with TFIIB in vitro, and this interaction was (13, 14). Interestingly, VP16 induces a conformational change impaired by the S53P replacement. Furthermore, Pho4 in- in TFIIB that disrupts the intramolecular interaction between duced a conformational change in TFIIB, detected by en- the N- and C-terminal domains in solution (15). -
Supplemental Methods
Supplemental Methods: Sample Collection Duplicate surface samples were collected from the Amazon River plume aboard the R/V Knorr in June 2010 (4 52.71’N, 51 21.59’W) during a period of high river discharge. The collection site (Station 10, 4° 52.71’N, 51° 21.59’W; S = 21.0; T = 29.6°C), located ~ 500 Km to the north of the Amazon River mouth, was characterized by the presence of coastal diatoms in the top 8 m of the water column. Sampling was conducted between 0700 and 0900 local time by gently impeller pumping (modified Rule 1800 submersible sump pump) surface water through 10 m of tygon tubing (3 cm) to the ship's deck where it then flowed through a 156 µm mesh into 20 L carboys. In the lab, cells were partitioned into two size fractions by sequential filtration (using a Masterflex peristaltic pump) of the pre-filtered seawater through a 2.0 µm pore-size, 142 mm diameter polycarbonate (PCTE) membrane filter (Sterlitech Corporation, Kent, CWA) and a 0.22 µm pore-size, 142 mm diameter Supor membrane filter (Pall, Port Washington, NY). Metagenomic and non-selective metatranscriptomic analyses were conducted on both pore-size filters; poly(A)-selected (eukaryote-dominated) metatranscriptomic analyses were conducted only on the larger pore-size filter (2.0 µm pore-size). All filters were immediately submerged in RNAlater (Applied Biosystems, Austin, TX) in sterile 50 mL conical tubes, incubated at room temperature overnight and then stored at -80oC until extraction. Filtration and stabilization of each sample was completed within 30 min of water collection. -
B Number Gene Name Mrna Intensity Mrna
sample) total list predicted B number Gene name assignment mRNA present mRNA intensity Gene description Protein detected - Membrane protein membrane sample detected (total list) Proteins detected - Functional category # of tryptic peptides # of tryptic peptides # of tryptic peptides detected (membrane b0002 thrA 13624 P 39 P 18 P(m) 2 aspartokinase I, homoserine dehydrogenase I Metabolism of small molecules b0003 thrB 6781 P 9 P 3 0 homoserine kinase Metabolism of small molecules b0004 thrC 15039 P 18 P 10 0 threonine synthase Metabolism of small molecules b0008 talB 20561 P 20 P 13 0 transaldolase B Metabolism of small molecules chaperone Hsp70; DNA biosynthesis; autoregulated heat shock b0014 dnaK 13283 P 32 P 23 0 proteins Cell processes b0015 dnaJ 4492 P 13 P 4 P(m) 1 chaperone with DnaK; heat shock protein Cell processes b0029 lytB 1331 P 16 P 2 0 control of stringent response; involved in penicillin tolerance Global functions b0032 carA 9312 P 14 P 8 0 carbamoyl-phosphate synthetase, glutamine (small) subunit Metabolism of small molecules b0033 carB 7656 P 48 P 17 0 carbamoyl-phosphate synthase large subunit Metabolism of small molecules b0048 folA 1588 P 7 P 1 0 dihydrofolate reductase type I; trimethoprim resistance Metabolism of small molecules peptidyl-prolyl cis-trans isomerase (PPIase), involved in maturation of b0053 surA 3825 P 19 P 4 P(m) 1 GenProt outer membrane proteins (1st module) Cell processes b0054 imp 2737 P 42 P 5 P(m) 5 GenProt organic solvent tolerance Cell processes b0071 leuD 4770 P 10 P 9 0 isopropylmalate -
Recd: the Gene for an Essential Third Subunit of Exonuclease V
Proc. Nati. Acad. Sci. USA Vol. 83, pp. 5558-5562, August 1986 Genetics recD: The gene for an essential third subunit of exonuclease V [genetic recombination/ceil viability/nudease-negative, recombination.-positive (recB*) phenotype/RecBCD enzyme] SUSAN K. AMUNDSEN*, ANDREW F. TAYLOR, ABDUL M. CHAUDHURYt, AND GERALD R. SMITH§ Fred Hutchinson Cancer Research Center, 1124 Columbia Street, Seattle, WA 98104 Communicated by Hamilton 0. Smith, February 24, 1986 ABSTRACT Exonuclease V (EC 3.1.11.5) of Escherichia The subunit composition of ExoV has been uncertain. coli, an enzyme with multiple activities promoting genetic Genetic complementation analysis of ExoV null mutants recombination, has previously been shown to contain two (those lacking any detectable activity) revealed two genes, polypeptides, the products of the recB and recC genes. We recB and recC (12). These genes code for two polypeptides report here that the enzyme contains in addition a third with approximate molecular masses of 120 and 110 kDa, polypeptide (a) with a molecular mass of about 58 kDa. The a respectively, seen in purified preparations of ExoV (8, 13, poypeptide is not synthesized by a class ofmutants (previously 14). ExoV can be dissociated by high salt and separated by designated recB*) lacking the nuclease activity of exonuclease column chromatography into two inactive fractions, desig- V but retaining recombination proficiency. The gene, recD, nated a and /; mixing a and f3 restores nuclease and ATPase coding for the a polypeptide is located near recB in the order activity (15, 16). Unexpectedly, a activity is present in thyA-recC-ptr-recB-recD-agA on the E. -
The HLH-6 Transcription Factor Regulates C
The HLH-6 Transcription Factor Regulates C. elegans Pharyngeal Gland Development and Function Ryan B. Smit1, Ralf Schnabel2, Jeb Gaudet1,3* 1 Genes and Development Research Group, Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada, 2 Institut fu¨r Genetik, Technische Universita¨t Braunschweig, Braunschweig, Germany, 3 Department of Medical Genetics, University of Calgary, Calgary, Alberta, Canada Abstract The Caenorhabditis elegans pharynx (or foregut) functions as a pump that draws in food (bacteria) from the environment. While the ‘‘organ identity factor’’ PHA-4 is critical for formation of the C. elegans pharynx as a whole, little is known about the specification of distinct cell types within the pharynx. Here, we use a combination of bioinformatics, molecular biology, and genetics to identify a helix-loop-helix transcription factor (HLH-6) as a critical regulator of pharyngeal gland development. HLH-6 is required for expression of a number of gland-specific genes, acting through a discrete cis-regulatory element named PGM1 (Pharyngeal Gland Motif 1). hlh-6 mutants exhibit a frequent loss of a subset of glands, while the remaining glands have impaired activity, indicating a role for hlh-6 in both gland development and function. Interestingly, hlh-6 mutants are also feeding defective, ascribing a biological function for the glands. Pharyngeal pumping in hlh-6 mutants is normal, but hlh-6 mutants lack expression of a class of mucin-related proteins that are normally secreted by pharyngeal glands and line the pharyngeal cuticle. An interesting possibility is that one function of pharyngeal glands is to secrete a pharyngeal lining that ensures efficient transport of food along the pharyngeal lumen. -
Highlighting the Potential Utility of MBP Crystallization Chaperone For
www.nature.com/scientificreports OPEN Highlighting the potential utility of MBP crystallization chaperone for Arabidopsis BIL1/BZR1 transcription factor‑DNA complex Shohei Nosaki1, Tohru Terada2, Akira Nakamura1, Kei Hirabayashi1, Yuqun Xu1, Thi Bao Chau Bui1, Takeshi Nakano3,4, Masaru Tanokura1* & Takuya Miyakawa1* The maltose‑binding protein (MBP) fusion tag is one of the most commonly utilized crystallization chaperones for proteins of interest. Recently, this MBP‑mediated crystallization technique was adapted to Arabidopsis thaliana (At) BRZ‑INSENSITIVE‑LONG (BIL1)/BRASSINAZOLE‑RESISTANT (BZR1), a member of the plant‑specifc BZR TFs, and revealed the frst structure of AtBIL1/BZR1 in complex with target DNA. However, it is unclear how the fused MBP afects the structural features of the AtBIL1/BZR1‑DNA complex. In the present study, we highlight the potential utility of the MBP crystallization chaperone by comparing it with the crystallization of unfused AtBIL1/BZR1 in complex with DNA. Furthermore, we assessed the validity of the MBP‑fused AtBIL1/BZR1‑DNA structure by performing detailed dissection of crystal packings and molecular dynamics (MD) simulations with the removal of the MBP chaperone. Our MD simulations defne the structural basis underlying the AtBIL1/ BZR1‑DNA assembly and DNA binding specifcity by AtBIL1/BZR1. The methodology employed in this study, the combination of MBP‑mediated crystallization and MD simulation, demonstrates promising capabilities in deciphering the protein‑DNA recognition code. Maltose-binding protein (MBP) is the most useful and successful crystallization chaperone for challeng- ing proteins1–4, as MBP maintains the solubility of fusion proteins and is used as an afnity tag for protein purifcation5–8. -
Supplementary Information
Supplementary information (a) (b) Figure S1. Resistant (a) and sensitive (b) gene scores plotted against subsystems involved in cell regulation. The small circles represent the individual hits and the large circles represent the mean of each subsystem. Each individual score signifies the mean of 12 trials – three biological and four technical. The p-value was calculated as a two-tailed t-test and significance was determined using the Benjamini-Hochberg procedure; false discovery rate was selected to be 0.1. Plots constructed using Pathway Tools, Omics Dashboard. Figure S2. Connectivity map displaying the predicted functional associations between the silver-resistant gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S3. Connectivity map displaying the predicted functional associations between the silver-sensitive gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S4. Metabolic overview of the pathways in Escherichia coli. The pathways involved in silver-resistance are coloured according to respective normalized score. Each individual score represents the mean of 12 trials – three biological and four technical. Amino acid – upward pointing triangle, carbohydrate – square, proteins – diamond, purines – vertical ellipse, cofactor – downward pointing triangle, tRNA – tee, and other – circle. -
Motif Co-Regulation and Co-Operativity Are Common Mechanisms in Transcriptional, Post-Transcriptional and Post-Translational Regulation Kim Van Roey1,2 and Norman E
Van Roey and Davey Cell Communication and Signaling (2015) 13:45 DOI 10.1186/s12964-015-0123-9 REVIEW Open Access Motif co-regulation and co-operativity are common mechanisms in transcriptional, post-transcriptional and post-translational regulation Kim Van Roey1,2 and Norman E. Davey3* Abstract A substantial portion of the regulatory interactions in the higher eukaryotic cell are mediated by simple sequence motifs in the regulatory segments of genes and (pre-)mRNAs, and in the intrinsically disordered regions of proteins. Although these regulatory modules are physicochemically distinct, they share an evolutionary plasticity that has facilitated a rapid growth of their use and resulted in their ubiquity in complex organisms. The ease of motif acquisition simplifies access to basal housekeeping functions, facilitates the co-regulation of multiple biomolecules allowing them to respond in a coordinated manner to changes in the cell state, and supports the integration of multiple signals for combinatorial decision-making. Consequently, motifs are indispensable for temporal, spatial, conditional and basal regulation at the transcriptional, post-transcriptional and post-translational level. In this review, we highlight that many of the key regulatory pathways of the cell are recruited by motifs and that the ease of motif acquisition has resulted in large networks of co-regulated biomolecules. We discuss how co-operativity allows simple static motifs to perform the conditional regulation that underlies decision-making in higher eukaryotic biological systems. We observe that each gene and its products have a unique set of DNA, RNA or protein motifs that encode a regulatory program to define the logical circuitry that guides the life cycle of these biomolecules, from transcription to degradation. -
The Transcriptional Activators of the PHO Regulon, Pho4p And
J. Biochem. 121,1182-1189 (1997) The Transcriptional Activators of the PHO Regulon, Pho4p and Pho2p, Interact Directly with Each Other and with Components of the Basal Transcription Machinery in Saccharomyces cerevisiael Jose Paolo V. Magbanua,Nobuo Ogawa, Satoshi Harashima, and Yasuji Oshima2 Departmentof Biotechnology, Faculty of Engineering,Osaka University, 2-1 Yamadaoka,Suita, Osaka 565 Receivedfor publication, March 3, 1997 The transcriptional regulators Pho4p and Pho2p are involved in transcription of several genes in the PHO regulon of Saccharomyces cerevisiae. Genetic evidence with temperature sensitive pho4 and pho2 mutants suggested that Pho4p and Pho2p interact with each other. Immunoprecipitation experiments showed that Pho4p and Pho2p form a complex on a 36-bp sequence bearing an upstream activation site (UAS) and protein binding assays indicated that these proteins interact directly. DNA-binding experiments with crude extracts prepared from yeast strains expressing T7-PHO4, encoding Pho4p tagged with the T7 epitope, indicated that Pho2p interacts with T7-Pho4p and enhances the binding affinity of T7-Pho4p to the UAS. Protein binding experiments also showed that both Pho4p and Pho2p could bind with the general transcription factors, TBP, TFIIB, and TFIIE f3, suggesting that the Pho4p-Pho2p complex bound to the UAS activates transcription of the PHO genes by direct interaction with the general transcription factors. Key words: PHO regulon, Pho2p, Pho4p, transcriptional regulator, yeast. In the yeast Saccharomyces cerevisiae,